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Detail publikace
ZEZULA, L. KOZOVSKÝ, M. BLAHA, P.
Originální název
Diagnostics of Interturn Short Circuits in PMSMs With Online Fault Indicators Estimation
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
This article presents novel model-based diagnostics of interturn short circuits in permanent magnet synchronous machines that enable estimating fault location and its severity, even during transients. The proposed method utilizes recursive parametric estimation and model comparison approaches cast in a decision-making framework to track motor parameters and fault indicators from a machine's discrete-time model. The discrete-time prototype is derived from an advanced motor model that reflects the stator winding arrangement in a motor's case. The fault detection is then performed by tracking the changes in the estimated probability density function of the electrical parameters, using the Kullback-Leibler divergence. The fault location is subsequently evaluated by performing a recursive comparison of the predefined fault models in the different phases, utilizing a growing-window approach. Ultimately, a parametric estimation algorithm applied to the fault current model allows identifying the fault severity. The diagnostic algorithm has been validated via laboratory experiments, and its capabilities are compared with other approaches enabling severity estimation.
Klíčová slova
Discrete-time systems; fault detection; fault diagnosis; fault location; parameter estimation; permanent magnet motors; recursive estimation
Autoři
ZEZULA, L.; KOZOVSKÝ, M.; BLAHA, P.
Vydáno
27. 2. 2024
Nakladatel
IEEE
ISSN
0278-0046
Periodikum
IEEE Transactions on Industrial Electronics
Ročník
71
Číslo
11
Stát
Spojené státy americké
Strany od
15001
Strany do
15011
Strany počet
URL
https://ieeexplore.ieee.org/document/10449893
Plný text v Digitální knihovně
http://hdl.handle.net/11012/245247
BibTex
@article{BUT188175, author="Lukáš {Zezula} and Matúš {Kozovský} and Petr {Blaha}", title="Diagnostics of Interturn Short Circuits in PMSMs With Online Fault Indicators Estimation", journal="IEEE Transactions on Industrial Electronics", year="2024", volume="71", number="11", pages="15001--15011", doi="10.1109/TIE.2024.3363775", issn="0278-0046", url="https://ieeexplore.ieee.org/document/10449893" }